Systems and methods for predicting mood, emotion and behavior of non-recumbent subjects

Abstract

Systems and methods for predicting emotional state, behavioral state, or mood of a subject including a non-contacting physiologic sensing apparatus, as well as, possibly, an image capture sensor or a microphone, which may be incorporated into an article of furniture, for detecting parameters indicative of emotional state of a non-recumbent subject.

Description

FIELD OF THE INVENTION[0001]The disclosure herein relates to systems and methods for predicting emotional state, behavioral state, or mood of a subject. In particular, the disclosure relates to the use of non-contacting physiologic sensing apparatus to detect parameters indicative of emotional state of a subject.CROSS-REFERENCE TO RELATED APPLICATIONS[0002]This application claims priority and benefit from U.S. Provisional Patent Application No. 62 / 553,856, filed Sep. 3, 2017, the contents and disclosure of which are incorporated herein by reference in their entirety.BACKGROUND OF THE INVENTION[0003]Emotion and / or mood recognition in a user has been previously proposed. However automatic emotion recognition and / or emotion detection accuracy has been low due to complex algorithms based upon analysis of facial features and / or acoustic cues alone and / or body gesture recognition. In many cases, speech must also be analyzed.[0004]Historically recognition accuracy depends on the number of ...

AI Technical Summary

Benefits of technology

The patent describes a method and system for monitoring a person's emotional state through the use of a non-contacting physiologic sensor, such as a heart rate monitor, that is placed near the person. The sensor collects data on the person's heart rate, respiration rate, body vibration, and other parameters that can indicate their emotional state. This data is then used to create a timeline that can be used to analyze the person's emotional response to various factors, such as content they are exposed to. The system can include a seating platform and a data processor to collect and analyze the data. The technical effects of this invention include improved understanding of a person's emotional response and improved monitoring of their behavior.

Problems solved by technology

However automatic emotion recognition and / or emotion detection accuracy has been low due to complex algorithms based upon analysis of facial features and / or acoustic cues alone and / or body gesture recognition.

Even with complex algorithms, happiness and anger are difficult to distinguish from one another.

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